Update README.md

README.md

@@ -1,12 +1,172 @@
 ---
 language: en
 tags:
-- llama
-- llama-3.2
-- function-calling
-- instruction-tuning
 - conversational
-license: llama2
+- python
+- programmer
+license: llama3
+base_model: unsloth/Llama-3.2-3B-Instruct
+widget:
+- example_title: Python Programmer Example
+  messages:
+  - role: system
+    content: >-
+      You are a Python Programmer AI, designed to provide code solutions, 
+      technical guidance, and development best practices.
+  - role: user
+    content: Create a function to calculate Fibonacci numbers recursively
+model-index:
+- name: NazareAI-Python-Programmer
+  results: []
+library_name: transformers
+datasets:
+- 0xroyce/NazareAI-Python-Programmer
 ---
 
-# NazareAI
+# NazareAI - Python Programmer
+
+### Overview
+**NazareAI** is redefining the workforce with its **Autonomous AI Workforce** solution—tackling scalability, cost, and efficiency challenges in one fell swoop. This demo spotlights the **Python Programmer** AI, a specialized agent engineered to deliver expert-level coding solutions, technical architecture guidance, and implementation best practices for Python-based projects.
+
+NarazeAI AI Workforce: https://seedgularity.com/nazareai-ai-workforce/
+
+### Features
+- **Technical Expertise**  
+  Draws from comprehensive knowledge of Python programming, design patterns, and software architecture principles.
+- **Intelligent Code Generation**  
+  Produces clean, efficient, and well-documented code that follows best practices and industry standards.
+- **Problem-Solving Capability**  
+  Analyzes requirements and provides optimal technical solutions while considering performance and scalability.
+
+### Use Cases
+1. **Application Development**  
+   Build complete Python applications with proper structure, error handling, and documentation.
+2. **Code Optimization**  
+   Analyze existing code and recommend improvements for better performance and maintainability.
+3. **API Development**  
+   Design and implement RESTful APIs using modern Python frameworks like FastAPI or Flask.
+4. **Technical Documentation**  
+   Generate comprehensive documentation including API specs, setup guides, and code documentation.
+
+## Response Format
+
+NazareAI Python Programmer provides two types of responses:
+
+1. **Default Mode**: Provides detailed explanations along with the code, including:
+   - Problem analysis
+   - Solution approach
+   - Code explanation
+   - Implementation considerations
+   - Best practices and recommendations
+   - Usage examples
+
+2. **Code-Only Mode**: When users add `[CODE ONLY]` at the end of their prompt, it provides:
+   - Clean, production-ready code without explanations
+   - Necessary comments and docstrings
+   - Complete implementation focused on the requested functionality
+
+### Example Interactions
+
+#### Default Mode
+```plaintext
+User: Create a function to calculate Fibonacci numbers recursively
+
+AI: To create a recursive function for calculating Fibonacci numbers, we need to understand that the sequence is defined as:
+- F(0) = 0
+- F(1) = 1
+- For n > 1, F(n) = F(n-1) + F(n-2)
+
+Below is a Python implementation of such a function:
+
+```python
+def fibonacci_recursive(n):
+    """
+    Calculate the nth Fibonacci number recursively.
+
+    Args:
+        n (int): The index of the Fibonacci sequence (0-indexed).
+
+    Returns:
+        int: The nth Fibonacci number.
+    
+    Raises:
+        ValueError: If n is negative or not an integer.
+    """
+    # Error handling for invalid input
+    if not isinstance(n, int):
+        raise TypeError("Input must be an integer.")
+    if n < 0:
+        raise ValueError("Input must be a non-negative integer.")
+
+    # Base cases
+    if n == 0:
+        return 0
+    elif n == 1:
+        return 1
+
+    # Recursive case
+    return fibonacci_recursive(n - 1) + fibonacci_recursive(n - 2)
+
+# Example usage with error handling
+if __name__ == "__main__":
+    try:
+        print(fibonacci_recursive(10))   # Output: 55 (Fibonacci number at index 10)
+        print(fibonacci_recursive(-5))   # Raises ValueError
+    except Exception as e:
+        print("Error:", e)
+
+### Key Technical Notes:
+
+1. **Recursion**: This implementation uses the recursive definition of Fibonacci numbers to calculate each term by adding two preceding terms.
+
+2. **Time Complexity**: The time complexity for calculating `fibonacci_recursive` is exponential, O(2^n), due to its recursive nature and constant space used per 
+call (`O(n)`). For large inputs, this can lead to performance issues.
+
+3. **Space Complexity**: Space usage is also linear in terms of recursion depth (since each function call has a stack frame).
+
+4. **Memoization or Iteration**: To improve efficiency, consider using memoization or an iterative approach like the "Matrix Exponentiation" method which would 
+reduce time complexity to O(log n) and space complexity to O(1). Here’s how you could implement it iteratively:
+
+```python
+def fibonacci_iterative(n):
+    if not isinstance(n, int):
+        raise TypeError("Input must be an integer.")
+    if n < 0:
+        raise ValueError("Input must be a non-negative integer.")
+
+    # Initialize variables to store previous two Fibonacci numbers
+    prev1, prev2 = 0, 1
+
+    for _ in range(2, n + 1):
+        curr = prev1 + prev2
+        prev1 = prev2
+        prev2 = curr
+    
+    return curr
+
+# Example usage with error handling remains unchanged.
+
+This iterative approach is more efficient and suitable for larger inputs while retaining the same functionality as your recursive implementation.
+```
+
+#### Code-Only Mode
+```plaintext
+User: Create a function to calculate Fibonacci numbers recursively [CODE ONLY]
+
+AI:
+```python
+def fibonacci_recursive(n):
+    if not isinstance(n, int):
+        raise TypeError("Input must be an integer.")
+    if n < 0:
+        raise ValueError("Input must be a non-negative integer.")
+
+    # Base cases
+    if n == 0:
+        return 0
+    elif n == 1:
+        return 1
+
+    # Recursive case
+    return fibonacci_recursive(n - 1) + fibonacci_recursive(n - 2)
+```